Spatiotemporal variation in size-structured populations using fishery data: an application to shortfin mako (Isurus oxyrinchus) in the Pacific Ocean

Kai, Mikihiko; Thorson, James T.; Piner, Kevin R.; Maunder, Mark N.

doi:10.1139/cjfas-2016-0327

i

Spatiotemporal variation in size-structured populations using fishery data: an application to shortfin mako (Isurus oxyrinchus) in the Pacific Ocean

2017
By Kai, Mikihiko ; Thorson, James T. ; Piner, Kevin R. ; ...

Details

Journal Title:

Canadian Journal of Fisheries and Aquatic Sciences
Personal Author:

Kai, Mikihiko ; Thorson, James T. ; Piner, Kevin R. ; Maunder, Mark N.
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; SWFSC (Southwest Fisheries Science Center)
Description:

We develop a length-disaggregated, spatiotemporal, delta-generalized linear mixed model (GLMM) and apply the method to fishery-dependent catch rates of shortfin mako sharks (Isurus oxyrinchus) in the North Pacific. The spatiotemporal model may provide an improvement over conventional time-series and spatially stratified models by yielding more precise and biologically interpretable estimates of abundance. Including length data may provide additional information to better understand life history and habitat partitioning for marine species. Nominal catch rates were standardized using a GLMM framework with spatiotemporal and length composition data. The best-fitting model showed that most hotspots for “immature” shortfin mako occurred in the coastal waters of Japan, while hotspots for “subadult and adult” occurred in the offshore or coastal waters of Japan. We also found that size-specific catch rates provide an indication that there has been a recent increasing trend in stock abundance since 2008.
Keywords:

Aquatic Science Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics
Source:

Canadian Journal of Fisheries and Aquatic Sciences, 74(11), 1765-1780
DOI:

https://doi.org/10.1139/cjfas-2016-0327
ISSN:

0706-652X ; 1205-7533
Format:

PDF
Publisher:

Canadian Science Publishing
Document Type:

Journal Article
Rights Information:

Other
Compliance:

Library
Main Document Checksum:

urn:sha256:13a9172170c17fdb0ce3e5d1ddc3d5ab1ad4e4efca8719908704c9d2c36edd00
Download URL:

https://repository.library.noaa.gov/view/noaa/53597/noaa_53597_DS1.pdf
File Type:

[PDF - 2.94 MB ]

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